Presentation 2006-09-08
Example-based image recognition and eigenspace representation
Hiroshi Murase,
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Abstract(in English) This paper describes example-based image recognition, which recently attracts the more attention as computer power increases higher. In this method, a large number of examples are prepared in the dictionary, and an input pattern is matched with them. Eigenspace is useful representation to reduce the computational cost for matching. These ideas are unconsciously used from old days. This paper introduces several methods related to the example-based recognition that author proposed so far.
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Keyword(in English) Image recognition / Learning sample / Eigenspace representation
Paper # PRMU2006-74
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Conference Information
Committee PRMU
Conference Date 2006/9/1(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Example-based image recognition and eigenspace representation
Sub Title (in English)
Keyword(1) Image recognition
Keyword(2) Learning sample
Keyword(3) Eigenspace representation
1st Author's Name Hiroshi Murase
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
Date 2006-09-08
Paper # PRMU2006-74
Volume (vol) vol.106
Number (no) 229
Page pp.pp.-
#Pages 6
Date of Issue